Financial flexibility, due to its capability in optimizing resource allocation, enhancing operational efficiency, and responding to market changes, has become a crucial strategy for “specialized, refined, differentia...Financial flexibility, due to its capability in optimizing resource allocation, enhancing operational efficiency, and responding to market changes, has become a crucial strategy for “specialized, refined, differentiated, and innovative” (SRDI) enterprises to address financing difficulties and cash flow management pressures, thereby achieving sustainable development. This study, based on financial flexibility theory, conducts an empirical analysis using data from China’s listed SRDI enterprises from 2016 to 2023. The results show that there is an inverted U-shaped relationship between financial flexibility and corporate sustainable development performance. Heterogeneity analysis indicates that the impact of financial flexibility on sustainable development performance varies significantly under different ownership structures and dimensions. This study not only enriches the theory of financial flexibility but also reveals its complex impact mechanisms within SRDI enterprises, providing practical guidance and data support for enterprises to achieve sustainable development in a complex market environment.展开更多
With the goal of“carbon peaking and carbon neutralization”,it is an inevitable trend for investing smart grid to promote the large-scale grid connection of renewable energy.Smart grid investment has a significant dr...With the goal of“carbon peaking and carbon neutralization”,it is an inevitable trend for investing smart grid to promote the large-scale grid connection of renewable energy.Smart grid investment has a significant driving effect(derivative value),and evaluating this value can help to more accurately grasp the external effects of smart grid investment and support the realization of industrial linkage value with power grid investment as the core.Therefore,by analyzing the characterization of the derivative value of smart grid driven by investment,this paper constructs the evaluation index system of the derivative value of smart grid investment including 11 indicators.Then,the hybrid evaluation model of the derivative value of smart grid investment is developed based on anti-entropy weight(AEW),level based weight assessment(LBWA),and measurement alternatives and ranking according to the compromise solution(MARCOS)techniques.The results of case analysis show that for SG investment,the value of sustainable development can better reflect its derivative value,and when smart grid performs poorly in promoting renewable energy consumption,improving primary energy efficiency,and improving its own fault resistance,the driving force of its investment for future sustainable development will decline significantly,making the grid investment lack derivative value.In addition,smart grid investment needs to pay attention to the economy of investment,which is an important guarantee to ensure that the power grid has sufficient and stable sources of investment funds.Finally,compared with three comparison models,the proposed hybrid multi-criteria decision-making(MCDM)model can better improve the decision-making efficiency on the premise of ensuring robustness.展开更多
文摘Financial flexibility, due to its capability in optimizing resource allocation, enhancing operational efficiency, and responding to market changes, has become a crucial strategy for “specialized, refined, differentiated, and innovative” (SRDI) enterprises to address financing difficulties and cash flow management pressures, thereby achieving sustainable development. This study, based on financial flexibility theory, conducts an empirical analysis using data from China’s listed SRDI enterprises from 2016 to 2023. The results show that there is an inverted U-shaped relationship between financial flexibility and corporate sustainable development performance. Heterogeneity analysis indicates that the impact of financial flexibility on sustainable development performance varies significantly under different ownership structures and dimensions. This study not only enriches the theory of financial flexibility but also reveals its complex impact mechanisms within SRDI enterprises, providing practical guidance and data support for enterprises to achieve sustainable development in a complex market environment.
文摘With the goal of“carbon peaking and carbon neutralization”,it is an inevitable trend for investing smart grid to promote the large-scale grid connection of renewable energy.Smart grid investment has a significant driving effect(derivative value),and evaluating this value can help to more accurately grasp the external effects of smart grid investment and support the realization of industrial linkage value with power grid investment as the core.Therefore,by analyzing the characterization of the derivative value of smart grid driven by investment,this paper constructs the evaluation index system of the derivative value of smart grid investment including 11 indicators.Then,the hybrid evaluation model of the derivative value of smart grid investment is developed based on anti-entropy weight(AEW),level based weight assessment(LBWA),and measurement alternatives and ranking according to the compromise solution(MARCOS)techniques.The results of case analysis show that for SG investment,the value of sustainable development can better reflect its derivative value,and when smart grid performs poorly in promoting renewable energy consumption,improving primary energy efficiency,and improving its own fault resistance,the driving force of its investment for future sustainable development will decline significantly,making the grid investment lack derivative value.In addition,smart grid investment needs to pay attention to the economy of investment,which is an important guarantee to ensure that the power grid has sufficient and stable sources of investment funds.Finally,compared with three comparison models,the proposed hybrid multi-criteria decision-making(MCDM)model can better improve the decision-making efficiency on the premise of ensuring robustness.
